Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/811
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dc.contributor.authorEGGHE, Leo-
dc.contributor.authorROUSSEAU, Ronald-
dc.date.accessioned2005-06-03T08:13:17Z-
dc.date.available2005-06-03T08:13:17Z-
dc.date.issued1998-
dc.identifier.citationInformation Processing and Management, 34(2-3). p. 191-218-
dc.identifier.issn0306-4573-
dc.identifier.urihttp://hdl.handle.net/1942/811-
dc.description.abstractTopologies for retrieval systems are generated by certain subsets, called retrievals. In this article we show how recall and precision can be expressed using only retrievals. Different types of retrieval systems are investigated: both threshold systems and "close match" systems, and both "optimal" and "non-optimal" retrieval. The relation with the hypergeometric and some "non-standard" distributions is highlighted.-
dc.format.extent746284 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherElsevier-
dc.titleA theoretical study of recall and precision using a topological approach to information retrieval-
dc.typeJournal Contribution-
dc.identifier.epage218-
dc.identifier.issue2-3-
dc.identifier.spage191-
dc.identifier.volume34-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1016/S0306-4573(98)00007-7-
dc.identifier.isi000074235900005-
item.validationecoom 1999-
item.accessRightsOpen Access-
item.fullcitationEGGHE, Leo & ROUSSEAU, Ronald (1998) A theoretical study of recall and precision using a topological approach to information retrieval. In: Information Processing and Management, 34(2-3). p. 191-218.-
item.fulltextWith Fulltext-
item.contributorEGGHE, Leo-
item.contributorROUSSEAU, Ronald-
crisitem.journal.issn0306-4573-
crisitem.journal.eissn1873-5371-
Appears in Collections:Research publications
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